{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Document AI: Fine-tuning Donut for document-parsing using Hugging Face Transformers on Amazon SageMaker\n",
    "\n",
    "In this tutorial, you will learn how to fine-tune and deploy [Donut-base](https://huggingface.co/naver-clova-ix/donut-base) for document-understand/document-parsing using Hugging Face Transformers and Amazon SageMaker. Donut is a new document-understanding model achieving state-of-art performance with an MIT-license, which allows it to be used for commercial purposes compared to other models like LayoutLMv2/LayoutLMv3. \n",
    "\n",
    "You will learn how to:\n",
    "\n",
    "1. [Setup Development Environment](#1-setup-development-environment)\n",
    "2. [Load SROIE dataset](#2-load-sroie-dataset)\n",
    "3. [Preprocess and upload dataset for Donut](#3-preprocess-and-upload-dataset-for-donut)\n",
    "4. [Fine-tune Donut model on Amazon SageMaker](#4-fine-tune-and-evaluate-donut-model)\n",
    "5. [Deploy Donut model on Amazon SageMaker](#5-deploy-donut-model)\n",
    "\n",
    "## Quick intro: Document Understanding Transformer (Donut) by ClovaAI\n",
    "\n",
    "Document Understanding Transformer (Donut) is a new Transformer model for OCR-free document understanding. It doesn't require an OCR engine to process scanned documents but is achieving state-of-the-art performances on various visual document understanding tasks, such as visual document classification or information extraction (a.k.a. document parsing). \n",
    "Donut is a multimodal sequence-to-sequence model with a vision encoder ([Swin Transformer](https://huggingface.co/docs/transformers/v4.21.2/en/model_doc/swin#overview)) and text decoder ([BART](https://huggingface.co/docs/transformers/v4.21.2/en/model_doc/bart)). The encoder receives the images and computes it into an embedding, which is then passed to the decoder, which generates a sequence of tokens.\n",
    "\n",
    "![donut](./assets/donut.png)\n",
    "\n",
    "* Paper: https://arxiv.org/abs/2111.15664\n",
    "* Official repo:  https://github.com/clovaai/donut\n",
    "\n",
    "--- \n",
    "\n",
    "Now we know how Donut works, so let's get started. 🚀\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. Setup Development Environment\n",
    "\n",
    "\n",
    "The first step is to install the required libraries and setup the environment. We will use the [Amazon SageMaker Python SDK](https://sagemaker.readthedocs.io/en/stable/) to interact with SageMaker. We will also use [Hugging Face Transformers & Datasets](https://huggingface.co/transformers/) to preprocess the data. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install \"transformers[sentencepiece]==4.26.0\" \"datasets[s3]==2.9.0\" sagemaker --upgrade --quiet"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If you are going to use Sagemaker in a local environment. You need access to an IAM Role with the required permissions for Sagemaker. You can find [here](https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-roles.html) more about it.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sagemaker\n",
    "import boto3\n",
    "sess = sagemaker.Session()\n",
    "# sagemaker session bucket -> used for uploading data, models and logs\n",
    "# sagemaker will automatically create this bucket if it not exists\n",
    "sagemaker_session_bucket=None\n",
    "if sagemaker_session_bucket is None and sess is not None:\n",
    "    # set to default bucket if a bucket name is not given\n",
    "    sagemaker_session_bucket = sess.default_bucket()\n",
    "\n",
    "try:\n",
    "    role = sagemaker.get_execution_role()\n",
    "except ValueError:\n",
    "    iam = boto3.client('iam')\n",
    "    role = iam.get_role(RoleName='sagemaker_execution_role')['Role']['Arn']\n",
    "\n",
    "sess = sagemaker.Session(default_bucket=sagemaker_session_bucket)\n",
    "\n",
    "print(f\"sagemaker role arn: {role}\")\n",
    "print(f\"sagemaker bucket: {sess.default_bucket()}\")\n",
    "print(f\"sagemaker session region: {sess.boto_region_name}\")\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Load SROIE dataset\n",
    "\n",
    "We will use the [SROIE](https://github.com/zzzDavid/ICDAR-2019-SROIE) dataset a collection of 1000 scanned receipts including their OCR, more specifically we will use the dataset from task 2 \"Scanned Receipt OCR\". The available dataset on Hugging Face ([darentang/sroie](https://huggingface.co/datasets/darentang/sroie)) is not compatible with Donut. Thats why we will use the original dataset together with the `imagefolder` feature of `datasets` to load our dataset. Learn more about loading image data [here](https://huggingface.co/docs/datasets/v2.4.0/en/image_load#load-image-data).\n",
    "\n",
    "_Note: The test data for task2 is sadly not available. Meaning that we end up only with 626 images._\n",
    "\n",
    "First, we will clone the repository, extract the dataset into a separate folder and remove the unnecessary files.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%bash \n",
    "# clone repository\n",
    "git clone https://github.com/zzzDavid/ICDAR-2019-SROIE.git\n",
    "# copy data\n",
    "cp -r ICDAR-2019-SROIE/data ./\n",
    "# clean up\n",
    "rm -rf ICDAR-2019-SROIE\n",
    "rm -rf data/box"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we have two folders inside the `data/` directory. One contains the images of the receipts and the other contains the OCR text. The nex step is to create a `metadata.json` file that contains the information about the images including the OCR-text. This is necessary for the `imagefolder` feature of `datasets`.\n",
    "\n",
    "The `metadata.json` should look at the end similar to the example below.\n",
    "\n",
    "```json\n",
    "{\"file_name\": \"0001.png\", \"text\": \"This is a golden retriever playing with a ball\"}\n",
    "{\"file_name\": \"0002.png\", \"text\": \"A german shepherd\"}\n",
    "```\n",
    "\n",
    "In our example will `\"text\"` column contain the OCR text of the image, which will later be used for creating the Donut specific format."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "from pathlib import Path\n",
    "import shutil\n",
    "\n",
    "# define paths\n",
    "base_path = Path(\"data\")\n",
    "metadata_path = base_path.joinpath(\"key\")\n",
    "image_path = base_path.joinpath(\"img\")\n",
    "# define metadata list\n",
    "metadata_list = []\n",
    "\n",
    "# parse metadata\n",
    "for file_name in metadata_path.glob(\"*.json\"):\n",
    "  with open(file_name, \"r\") as json_file:\n",
    "    # load json file\n",
    "    data = json.load(json_file)\n",
    "    # create \"text\" column with json string\n",
    "    text = json.dumps(data)\n",
    "    # add to metadata list if image exists\n",
    "    if image_path.joinpath(f\"{file_name.stem}.jpg\").is_file():    \n",
    "      metadata_list.append({\"text\":text,\"file_name\":f\"{file_name.stem}.jpg\"})\n",
    "      # delete json file\n",
    "      \n",
    "# write jsonline file\n",
    "with open(image_path.joinpath('metadata.jsonl'), 'w') as outfile:\n",
    "    for entry in metadata_list:\n",
    "        json.dump(entry, outfile)\n",
    "        outfile.write('\\n')\n",
    "\n",
    "# remove old meta data\n",
    "shutil.rmtree(metadata_path)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Good Job! Now we can load the dataset using the `imagefolder` feature of `datasets`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from datasets import load_dataset\n",
    "\n",
    "\n",
    "dataset = load_dataset(\"imagefolder\", data_dir=image_path, split=\"train\")\n",
    "\n",
    "print(f\"Dataset has {len(dataset)} images\")\n",
    "print(f\"Dataset features are: {dataset.features.keys()}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, lets take a closer look at our dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Random sample is 623\n",
      "OCR text is {\"company\": \"ONE ONE THREE SEAFOOD RESTAURANT SDN BHD\", \"date\": \"23-06-2018\", \"address\": \"NO.1, TAMAN SRI DENGKIL, JALAN AIR HITAM 43800 DENGKIL, SELANGOR.\", \"total\": \"179.50\"}\n"
     ]
    },
    {
     "data": {
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",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=250x400>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import random\n",
    "\n",
    "random_sample = random.randint(0, len(dataset))\n",
    "\n",
    "print(f\"Random sample is {random_sample}\")\n",
    "print(f\"OCR text is {dataset[random_sample]['text']}\")\n",
    "dataset[random_sample]['image'].resize((250,400))\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Preprocess and upload dataset for Donut\n",
    "\n",
    "As we learned in the introduction, Donut is a sequence-to-sequence model with a vision encoder and text decoder. When fine-tuning the model we want it to generate the `\"text\"` based on the image we pass it. Similar to NLP tasks, we have to tokenize and preprocess the text. \n",
    "Before we can tokenize the text, we need to transform the JSON string into a Donut compatible document. \n",
    "\n",
    "**current JSON string**\n",
    "```json\n",
    "{\"company\": \"ADVANCO COMPANY\", \"date\": \"17/01/2018\", \"address\": \"NO 1&3, JALAN WANGSA DELIMA 12, WANGSA LINK, WANGSA MAJU, 53300 KUALA LUMPUR\", \"total\": \"7.00\"}\n",
    "```\n",
    "\n",
    "**Donut document**\n",
    "```json\n",
    "<s></s><s_company>ADVANCO COMPANY</s_company><s_date>17/01/2018</s_date><s_address>NO 1&3, JALAN WANGSA DELIMA 12, WANGSA LINK, WANGSA MAJU, 53300 KUALA LUMPUR</s_address><s_total>7.00</s_total></s>\n",
    "```\n",
    "\n",
    "To easily create those documents the ClovaAI team has created a [json2token](https://github.com/clovaai/donut/blob/master/donut/model.py#L497) method, which we extract and then apply."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "new_special_tokens = [] # new tokens which will be added to the tokenizer\n",
    "task_start_token = \"<s>\"  # start of task token\n",
    "eos_token = \"</s>\" # eos token of tokenizer\n",
    "\n",
    "def json2token(obj, update_special_tokens_for_json_key: bool = True, sort_json_key: bool = True):\n",
    "    \"\"\"\n",
    "    Convert an ordered JSON object into a token sequence\n",
    "    \"\"\"\n",
    "    if type(obj) == dict:\n",
    "        if len(obj) == 1 and \"text_sequence\" in obj:\n",
    "            return obj[\"text_sequence\"]\n",
    "        else:\n",
    "            output = \"\"\n",
    "            if sort_json_key:\n",
    "                keys = sorted(obj.keys(), reverse=True)\n",
    "            else:\n",
    "                keys = obj.keys()\n",
    "            for k in keys:\n",
    "                if update_special_tokens_for_json_key:\n",
    "                    new_special_tokens.append(fr\"<s_{k}>\") if fr\"<s_{k}>\" not in new_special_tokens else None\n",
    "                    new_special_tokens.append(fr\"</s_{k}>\") if fr\"</s_{k}>\" not in new_special_tokens else None\n",
    "                output += (\n",
    "                    fr\"<s_{k}>\"\n",
    "                    + json2token(obj[k], update_special_tokens_for_json_key, sort_json_key)\n",
    "                    + fr\"</s_{k}>\"\n",
    "                )\n",
    "            return output\n",
    "    elif type(obj) == list:\n",
    "        return r\"<sep/>\".join(\n",
    "            [json2token(item, update_special_tokens_for_json_key, sort_json_key) for item in obj]\n",
    "        )\n",
    "    else:\n",
    "        # excluded special tokens for now\n",
    "        obj = str(obj)\n",
    "        if f\"<{obj}/>\" in new_special_tokens:\n",
    "            obj = f\"<{obj}/>\"  # for categorical special tokens\n",
    "        return obj\n",
    "\n",
    "\n",
    "def preprocess_documents_for_donut(sample):\n",
    "    # create Donut-style input\n",
    "    text = json.loads(sample[\"text\"])\n",
    "    d_doc = task_start_token + json2token(text) + eos_token\n",
    "    # convert all images to RGB\n",
    "    image = sample[\"image\"].convert('RGB')\n",
    "    return {\"image\": image, \"text\": d_doc}\n",
    "\n",
    "proc_dataset = dataset.map(preprocess_documents_for_donut)\n",
    "\n",
    "print(f\"Sample: {proc_dataset[45]['text']}\")\n",
    "print(f\"New special tokens: {new_special_tokens + [task_start_token] + [eos_token]}\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The next step is to tokenize our text and encode the images into tensors. Therefore we need to load `DonutProcessor`, add our new special tokens and adjust the size of the images when processing from `[1920, 2560]` to `[720, 960]` to need less memory and have faster training."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from transformers import DonutProcessor\n",
    "\n",
    "# Load processor\n",
    "model_id = \"naver-clova-ix/donut-base\"\n",
    "processor = DonutProcessor.from_pretrained(model_id)\n",
    "\n",
    "# add new special tokens to tokenizer\n",
    "processor.tokenizer.add_special_tokens({\"additional_special_tokens\": new_special_tokens + [task_start_token] + [eos_token]})\n",
    "\n",
    "# we update some settings which differ from pretraining; namely the size of the images + no rotation required\n",
    "# resizing the image to smaller sizes from [1920, 2560] to [960,1280]\n",
    "processor.feature_extractor.size = [720,960] # should be (width, height)\n",
    "processor.feature_extractor.do_align_long_axis = False"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, we can prepare our dataset, which we will use for the training later.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def transform_and_tokenize(sample, processor=processor, split=\"train\", max_length=512, ignore_id=-100):\n",
    "    # create tensor from image\n",
    "    try:\n",
    "        pixel_values = processor(\n",
    "            sample[\"image\"], random_padding=split == \"train\", return_tensors=\"pt\"\n",
    "        ).pixel_values.squeeze()\n",
    "    except Exception as e:\n",
    "        print(sample)\n",
    "        print(f\"Error: {e}\")\n",
    "        return {}\n",
    "        \n",
    "    # tokenize document\n",
    "    input_ids = processor.tokenizer(\n",
    "        sample[\"text\"],\n",
    "        add_special_tokens=False,\n",
    "        max_length=max_length,\n",
    "        padding=\"max_length\",\n",
    "        truncation=True,\n",
    "        return_tensors=\"pt\",\n",
    "    )[\"input_ids\"].squeeze(0)\n",
    "\n",
    "    labels = input_ids.clone()\n",
    "    labels[labels == processor.tokenizer.pad_token_id] = ignore_id  # model doesn't need to predict pad token\n",
    "    return {\"pixel_values\": pixel_values, \"labels\": labels, \"target_sequence\": sample[\"text\"]}\n",
    "\n",
    "# need at least 32-64GB of RAM to run this\n",
    "processed_dataset = proc_dataset.map(transform_and_tokenize,remove_columns=[\"image\",\"text\"])"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Before we can upload our dataset to S3 for training we want to split the dataset into train and test sets."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "processed_dataset = processed_dataset.train_test_split(test_size=0.1)\n",
    "print(processed_dataset)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "After that is done we use the new [FileSystem integration](https://huggingface.co/docs/datasets/filesystems) to upload our dataset to S3. We are using the `sess.default_bucket()`, adjust this if you want to store the dataset in a different S3 bucket. We will use the S3 path later in our training script."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "# save train_dataset to s3\n",
    "training_input_path = f's3://{sess.default_bucket()}/processed/donut-sagemaker/train'\n",
    "processed_dataset[\"train\"].save_to_disk(training_input_path)\n",
    "\n",
    "# save train_dataset to s3\n",
    "test_input_path = f's3://{sess.default_bucket()}/processed/donut-sagemaker/test'\n",
    "processed_dataset[\"test\"].save_to_disk(test_input_path)\n",
    "\n",
    "print(\"uploaded data to:\")\n",
    "print(f\"training dataset to: {training_input_path}\")\n",
    "print(f\"test dataset to: {test_input_path}\")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. Fine-tune and evaluate Donut model on Amazon SageMaker\n",
    "\n",
    "After we have processed our dataset, we can start training our model using a Amazon SageMaker training job using the `HuggingFace` Estimator. The Estimator handles end-to-end Amazon SageMaker training and deployment tasks. The Estimator manages the infrastructure use. \n",
    "SagMaker takes care of starting and managing all the required ec2 instances for us, provides the correct huggingface container, uploads the provided scripts and downloads the data from our S3 bucket into the container at `/opt/ml/input/data`. Then, it starts the training job by running.\n",
    "\n",
    "_Important steps we need to think of is that we extended the `DonutProcessor` earlier and added special tokens, which we need to pass through to our training script. We also need to pass the `image_size` and `max_length` to our training script._ \n",
    "\n",
    "\n",
    "As pretrained model we will use [naver-clova-ix/donut-base](https://huggingface.co/naver-clova-ix/donut-base). The `donut-base` includes only the pre-trained weights and was introduced in the paper [OCR-free Document Understanding Transformer](https://arxiv.org/abs/2111.15664) by Geewok et al. and first released in [this repository](https://github.com/clovaai/donut).\n",
    "\n",
    "In addition to loading our model, we are resizing the `embedding` layer to match newly added tokens and adjusting the `image_size` of our encoder to match our dataset. We are also adding tokens for inference later."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [],
   "source": [
    "import time\n",
    "import json\n",
    "from sagemaker.huggingface import HuggingFace\n",
    "\n",
    "# define Training Job Name \n",
    "job_name = f'huggingface-donut-{time.strftime(\"%Y-%m-%d-%H-%M-%S\", time.localtime())}'\n",
    "\n",
    "# stingify special tokens\n",
    "special_tokens = \",\".join(processor.tokenizer.special_tokens_map_extended[\"additional_special_tokens\"])\n",
    "\n",
    "# hyperparameters, which are passed into the training job\n",
    "hyperparameters = {\n",
    "  'model_id': model_id,                                # pre-trained model\n",
    "  'special_tokens': json.dumps(special_tokens),        # special tokens which will be added to the tokenizer\n",
    "  'dataset_path': '/opt/ml/input/data/training',       # path where sagemaker will save training dataset\n",
    "  'epochs': 3,                                         # number of training epochs\n",
    "  'per_device_train_batch_size': 8,                    # batch size for training\n",
    "  'gradient_checkpointing': True,                    # batch size for training\n",
    "  'lr': 4e-5,                                          # learning rate used during training\n",
    "}\n",
    "\n",
    "# create the Estimator\n",
    "huggingface_estimator = HuggingFace(\n",
    "    entry_point          = 'train.py',        # train script\n",
    "    source_dir           = 'scripts',         # directory which includes all the files needed for training\n",
    "    instance_type        = 'ml.g5.2xlarge',   # instances type used for the training job\n",
    "    instance_count       = 1,                 # the number of instances used for training\n",
    "    base_job_name        = job_name,          # the name of the training job\n",
    "    role                 = role,              # Iam role used in training job to access AWS ressources, e.g. S3\n",
    "    volume_size          = 100,               # the size of the EBS volume in GB\n",
    "    transformers_version = '4.26',            # the transformers version used in the training job\n",
    "    pytorch_version      = '1.13',            # the pytorch_version version used in the training job\n",
    "    py_version           = 'py39',            # the python version used in the training job\n",
    "    hyperparameters      =  hyperparameters\n",
    ")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Lets start the training job and wait until it is finished. This will take around 30 minutes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# define a data input dictonary with our uploaded s3 uris\n",
    "data = {'training': training_input_path}\n",
    "\n",
    "# starting the train job with our uploaded datasets as input\n",
    "huggingface_estimator.fit(data, wait=True)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5. Deploy Donut model on Amazon SageMaker\n",
    "\n",
    "During the training we copied a `infernece.py` into out `model.tar.gz` which allows us now to easily deploy our model to SageMaker for inference. \n",
    "The [inference.py](./scripts/inference.py) implements a custom `model_fn` and `predict_fn` for our Donut model. The `model_fn` loads the model and processor and the `predict_fn` tokenizes the input and returns the prediction. \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sagemaker.huggingface import HuggingFaceModel\n",
    "\n",
    "# create Hugging Face Model Class\n",
    "huggingface_model = HuggingFaceModel(\n",
    "   model_data=huggingface_estimator.model_data,\n",
    "   # model_data=\"s3://sagemaker-us-east-1-558105141721/huggingface-donut-2023-05-18-15-15-20-2023-05-18-15-15-20-285/output/model.tar.gz\"\n",
    "   role=role, \n",
    "   transformers_version=\"4.26\", \n",
    "   pytorch_version=\"1.13\", \n",
    "   py_version=\"py39\",\n",
    "   model_server_workers=1\n",
    ")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Before we can deploy model with the `HuggingFaceModel` class we need to create a new serializer, which supports our image data. The Serializer are used in Predictor and in the `predict` method to serializer our data to a specific `mime-type`. The default serialzier for the `HuggingFacePredcitor` is a `JSON` serializer, but since we are not going to send text data to the endpoint we will use the DataSerializer.\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sagemaker.serializers import DataSerializer\n",
    "\n",
    "# create a serializer for the data\n",
    "image_serializer = DataSerializer(content_type='image/x-image') # using x-image to support multiple image formats\n",
    "\n",
    "# deploy model to SageMaker Inference\n",
    "predictor = huggingface_model.deploy(\n",
    "   initial_instance_count=1,\n",
    "   instance_type= \"ml.g5.2xlarge\",\n",
    "   serializer=image_serializer, # serializer for our image files.\n",
    ")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "SageMaker starts the deployment process by creating a SageMaker Endpoint Configuration and a SageMaker Endpoint. The Endpoint Configuration defines the model and the instance type.\n",
    "\n",
    "Lets test by using a example from the `test` split."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Reference:\n",
      " {'total': '41.87', 'date': '24/10/2017', 'company': 'GARDENIA BAKERIES (KL) SDN BHD', 'address': 'LOT 3, JALAN PELABUR 23/1, 40300 SHAH ALAM, SELANGOR.'}\n",
      "Prediction:\n",
      " {'total': '41.87', 'date': '24/10/2017', 'company': 'GARDENIA BAKERIES (KL) SDN BHD', 'address': 'LOT 3, JALAN PELABUR 23/1, 40300 SHAH ALAM, SELANGOR.'}\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=350x600>"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from PIL import Image\n",
    "import io\n",
    "from random import randrange\n",
    "from transformers.image_transforms import to_pil_image\n",
    "import numpy as np \n",
    "test_sample = processed_dataset[\"test\"][randrange(0,len(processed_dataset[\"test\"]))]\n",
    "\n",
    "image = to_pil_image(np.array(test_sample[\"pixel_values\"]))\n",
    "\n",
    "\n",
    "def image_to_byte_array(image: Image) -> bytes:\n",
    "  format = image.format if image.format else 'JPEG'\n",
    "  # BytesIO is a file-like buffer stored in memory\n",
    "  img_byte_arr = io.BytesIO()\n",
    "  # image.save expects a file-like as a argument\n",
    "  image.save(img_byte_arr, format=format)\n",
    "  # Turn the BytesIO object back into a bytes object\n",
    "  return img_byte_arr.getvalue()\n",
    "\n",
    "\n",
    "res = predictor.predict(data=image_to_byte_array(image))\n",
    "target = processor.token2json(test_sample[\"target_sequence\"])\n",
    "\n",
    "print(f\"Reference:\\n {target}\")\n",
    "print(f\"Prediction:\\n {res}\")\n",
    "image.resize((350,600))"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Awesome!! Our fine-tuned model parsed the document correctly and extracted the right values. The next step is to evalute our model on the test set. Since the model itself is a seq2seq is not that straightforward to evaluate. \n",
    "\n",
    "To keep things simple we will use [rogue](https://huggingface.co/spaces/evaluate-metric/rouge) short for Recall-Oriented Understudy for Gisting Evaluation. This metric does not behave like the standard accuracy: it will compare a generated text against a set of reference text. The rogue score is mostly used for summarization or machine translation tasks. \n",
    "\n",
    "The higher the score the closer the generated text is to the reference text."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install rouge-score py7zr evaluate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import evaluate\n",
    "from tqdm import tqdm\n",
    "import os \n",
    "os.environ[\"TOKENIZERS_PARALLELISM\"] = \"false\" # disable parallelism in tokenizers library\n",
    "# Metric\n",
    "rogue = evaluate.load(\"rouge\")\n",
    "\n",
    "predictions, references = [], []\n",
    "# iterate over dataset\n",
    "for sample in tqdm(processed_dataset[\"test\"],total=len(processed_dataset[\"test\"])):\n",
    "  image = to_pil_image(np.array(sample[\"pixel_values\"]))\n",
    "\n",
    "  prediction = predictor.predict(data=image_to_byte_array(image))\n",
    "  reference = processor.token2json(sample[\"target_sequence\"])\n",
    "\n",
    "  predictions.append(json.dumps(prediction))\n",
    "  references.append(json.dumps(reference))\n",
    "  \n",
    "# compute scores\n",
    "results = rogue.compute(predictions=predictions,references=references)\n",
    "print(results)\n",
    "# {'rouge1': 0.8173891303548311, 'rouge2': 0.7266157117328251, 'rougeL': 0.8167726537736875, 'rougeLsum': 0.8144718562842747}"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Our model achieves an rogue 1 score of `81.7%` on the test set. The rogue1 refers to the overlap of unigrams (each word) between the prediction and reference.\n",
    "\n",
    "_Note: The evaluation we did was very simple._\n",
    "\n",
    "In an inference test the model predicted for the `address` the value `NO. 31G&33G, JALAN SETIA INDAH X ,U13/X 40170 SETIA ALAM` and the ground truth was `'NO. 31G&33G, JALAN SETIA INDAH X,U13/X 40170 SETIA ALAM'`, where the only difference is the ` ` whitespace in between `X` and `,U13/X`. \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "predictor.delete_model()\n",
    "predictor.delete_endpoint()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  }
 ],
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   "file_extension": ".py",
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